Wed.Oct 30, 2024

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IBM watsonx Platform: Compliance obligations to controls mapping

IBM Journey to AI blog

US regulators including the Office of the Comptroller of the Currency (OCC), Securities and Exchange Commission (SEC), Federal Reserve Board (FRB) and others mandate financial services organizations to prove that laws, rules and regulations (LRRs) are covered across their risk governance framework. This oversight helps ensure a secure and sound control environment that aligns with the organization’s risk tolerance and heightened regulatory standards.

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Ashish Nagar, CEO & Founder of Level AI – Interview Series

Unite.AI

Ashish Nagar is the CEO and founder of Level AI , taking his experience at Amazon on the Alexa team to use artificial intelligence to transform contact center operations. With a strong background in technology and entrepreneurship, Ashish has been instrumental in driving the company’s mission to enhance the efficiency and effectiveness of customer service interactions through advanced AI solutions.

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Classification of MRI Scans using Radiomics and MLP

Analytics Vidhya

Tumors, which are abnormal growths that can develop on brain tissues, pose significant challenges to the Central Nervous System. To detect unusual activities in the brain, we rely on advanced medical imaging techniques like MRI and CT scans. However, accurately identifying tumors can be complex due to their diverse shapes and textures, requiring careful analysis […] The post Classification of MRI Scans using Radiomics and MLP appeared first on Analytics Vidhya.

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Upmetrics Review: Generating an AI Business Plan in Seconds

Unite.AI

Starting a business is no small feat! Did you know 23.2% of new businesses fail in their first year ? That's why having a clear, well-structured plan can make all the difference in crossing that daunting threshold. I recently came across Upmetrics. It's a cloud-based business planning tool that guides you through every stage of your business plan with a seamless, user-friendly experience!

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Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

Speaker: David Warren and Kevin O’Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

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Hands-On Multimodal Retrieval and Interpretability (ColQwen + Vespa)

Analytics Vidhya

Imagine trying to navigate through hundreds of pages in a dense document filled with tables, charts, and paragraphs. Finding a specific figure or analyzing a trend would be challenging enough for a human; now imagine building a system to do it. Traditional document retrieval systems often rely heavily on text extraction, losing critical context provided […] The post Hands-On Multimodal Retrieval and Interpretability (ColQwen + Vespa) appeared first on Analytics Vidhya.

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Guide to Lightning-fast JAX

Analytics Vidhya

Hey there, fellow Python enthusiast! Have you ever wished your NumPy code run at supersonic speed? Meet JAX! Your new best friend in your machine learning, deep learning, and numerical computing journey. Think of it as NumPy with superpowers. It can automatically handle gradients, compile your code to run fast using JIT, and even run […] The post Guide to Lightning-fast JAX appeared first on Analytics Vidhya.

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Disney Research Offers Improved AI-Based Image Compression – But It May Hallucinate Details

Unite.AI

Disney's Research arm is offering a new method of compressing images, leveraging the open source Stable Diffusion V1.2 model to produce more realistic images at lower bitrates than competing methods. The Disney compression method compared to prior approaches. The authors claim improved recovery of detail, while offering a model that does not require hundreds of thousands of dollars of training, and which operates faster than the nearest equivalent competing method.

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Improving AI Hallucinations: How RAG Enhances Accuracy with Real-Time Data

Analytics Vidhya

This article delves into Retrieval-Augmented Generation , an advanced AI technique that improves response accuracy by combining retrieval and generation capabilities. You’ll explore how RAG works by first retrieving relevant, up-to-date information from a knowledge base before generating responses, enabling it to provide more reliable and contextually relevant answers.

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Platform Engineering: Streamlining Modern Software Development

Unite.AI

As we accelerate ahead of Industry 4.0, digital transformation reshapes businesses at an unprecedented level. Today, organizations face high pressures to deliver software faster, more reliably, and at scale. The growing complexities of the cloud environment and heightened demand for frictionless customer experiences have further complicated software development.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Make Your Own AI Image Generator with Bria 2.3 Model

Analytics Vidhya

Bria AI is a generative AI platform for the production of professional-grade visual content, mainly for enterprises. Established in 2020, they have the tools there, including text-to-image generation, editing with inpainting, background removal, and more. They design their models with responsible AI use in mind, utilizing licensed data to ensure compliance and ethical practices.

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Let's Simplifying How We Talk to AI Using Prompt Declaration Language (PDL)

Towards AI

Last Updated on October 31, 2024 by Editorial Team Author(s): Manpreet Singh Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Created by author Here comes a new way to talk to AI. lets see the power of PDL in the world of LLMs When we think of working with Large Language Models (LLMs) — those amazing AIs that can write poems or even code — we often forget one important part, i.e.

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Pushing the Frontiers of Audio Generation

DeepMind

Our pioneering speech generation technologies are helping people around the world interact with more natural, conversational and intuitive digital assistants and AI tools.

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SQL Best Practices for Beginners: Working with Multiple Data Tables

Towards AI

Last Updated on October 31, 2024 by Editorial Team Author(s): Ganesh Bajaj Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Image Illustrated by Author: Generated Using DALLE SQL is a powerful language for analyzing and manipulating big datasets, making it an essential skill for data analysts and data scientists.

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From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

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Spooks Await at the ‘Haunted Sanctuary,’ Built With RTX and AI

NVIDIA

Among the artists using AI to enhance and accelerate their creative endeavors is Sabour Amirazodi, a creator and tech marketing and workflow specialist at NVIDIA. Using his over 20 years of multi-platform experience in location-based entertainment and media production, he decorates his home every year with an incredible Halloween installation — dubbed the Haunted Sanctuary.

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GPT 4o + Canvas + o1 preview — Data Analysis Just Took a Quantum Leap!

Towards AI

Last Updated on October 31, 2024 by Editorial Team Author(s): Gencay I. Originally published on Towards AI. Let’s Analyze the Dataset by using this combination This member-only story is on us. Upgrade to access all of Medium. Created with Abidin Dino AI, to reach it, consider being Paid subscriber to LearnAIWithMe, here OpenAI has been consistently publishing different models to meet our diverse needs.

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Achieve multi-Region resiliency for your conversational AI chatbots with Amazon Lex

AWS Machine Learning Blog

Global Resiliency is a new Amazon Lex capability that enables near real-time replication of your Amazon Lex V2 bots in a second AWS Region. When you activate this feature, all resources, versions, and aliases associated after activation will be synchronized across the chosen Regions. With Global Resiliency, the replicated bot resources and aliases in the second Region will have the same identifiers as those in the source Region.

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How Can GPTs Interact with Computers? OmniParser Explained

Towards AI

Last Updated on October 31, 2024 by Editorial Team Author(s): Barhoumi Mosbeh Originally published on Towards AI. Microsoft has silently released OmniParser, an open-source tool designed to convert screenshots into structured, easy-to-interpret elements for Vision Agents. The goal of this tool is to advance the emerging field of enabling large language models (LLMs) to interact with graphical user interfaces (GUIs).

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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OnePlus 13 Set to Debut With IP69 Rating, Better Than iPhone 16 Pro Max

Extreme Tech

ExtremeTech is the Web's top destination for news and analysis of emerging science and technology trends, and important software, hardware, and gadgets.

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Is AI Mathematically Competent? A Review of the Apple Study

Towards AI

Last Updated on October 31, 2024 by Editorial Team Author(s): Devashish Datt Mamgain Originally published on Towards AI. AI and Maths In 2022 and 2023, large AI companies were primarily concerned with NLP. This was evidenced by the launches that focused more on creative use and Mira. However, the latest models (o1 and the new Claude Sonnet 3.5) have focused more on mathematical reasoning and science problems.

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Google Uses AI to Generate Over a Quarter of Its New Code

Extreme Tech

CEO Sundar Pichai confirmed during an earnings call that much of the company's code is AI-generated and human-reviewed.

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Apple Intelligence Launched On iPhone, iPad, & Mac

Towards AI

Last Updated on October 31, 2024 by Editorial Team Author(s): Get The Gist Originally published on Towards AI. Plus: Meta’s New AI-Powered Search Engine This member-only story is on us. Upgrade to access all of Medium. Welcome to Get The Gist, where every weekday we share an easy-to-read summary of the latest and greatest developments in AI — news, innovations, and trends — all delivered in under 5 minutes!

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The Tumultuous IT Landscape Is Making Hiring More Difficult

After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

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Create and fine-tune sentence transformers for enhanced classification accuracy

AWS Machine Learning Blog

Sentence transformers are powerful deep learning models that convert sentences into high-quality, fixed-length embeddings, capturing their semantic meaning. These embeddings are useful for various natural language processing (NLP) tasks such as text classification, clustering, semantic search, and information retrieval. In this post, we showcase how to fine-tune a sentence transformer specifically for classifying an Amazon product into its product category (such as toys or sporting goods).

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Anomaly Detection Techniques in Large-Scale Datasets

Machine Learning Mastery

Anomaly detection means finding patterns in data that are different from normal. These unusual patterns are called anomalies or outliers. In large datasets, finding anomalies is harder. The data is big, and patterns can be complex. Regular methods may not work well because there is so much data to look through.

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Legal Innovators UK Is Next Week!

Artificial Lawyer

After months of planning and bringing together expert speakers from across law firms, inhouse and legal tech companies, Legal Innovators UK is happening next week.

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Nothing's New Limited Edition Phone Glows in the Dark

Extreme Tech

The Nothing Phone (2a) Plus Community Edition brings a glow-in-the-dark design and fan-created elements to the already upgraded Phone (2a) Plus.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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Meta AI Releases LongVU: A Multimodal Large Language Model that can Address the Significant Challenge of Long Video Understanding

Marktechpost

Understanding and analyzing long videos has been a significant challenge in AI, primarily due to the vast amount of data and computational resources required. Traditional Multimodal Large Language Models (MLLMs) struggle to process extensive video content because of limited context length. This challenge is especially evident with hour-long videos, which need hundreds of thousands of tokens to represent visual information—often exceeding the memory capacity of even advanced hardware.

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Overclocker Breaks World Record With Asus and G.Skill Hardware, Liquid Nitrogen

Extreme Tech

An Intel Core Ultra 9 285K CPU and an Asus ROG Maximus Z890 Apex board launch G.Skill Trident Z5 memory to a new high frequency.

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OpenAI Releases SimpleQA: A New AI Benchmark that Measures the Factuality of Language Models

Marktechpost

The rise of large language models has been accompanied by significant challenges, particularly around ensuring the factuality of generated responses. One persistent issue is that these models can produce outputs that are factually incorrect or even misleading, a phenomenon often called “hallucination.” These hallucinations occur when models generate confident-sounding but incorrect or unverifiable information.

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